This course will expose you to the data analytics practices executed in the business world. We will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the environment in which analytics can flourish.
Informações sobre o curso
Universidade do Colorado em Boulder
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
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Principais avaliações do INTRODUCTION TO DATA ANALYTICS FOR BUSINESS
I really enjoyed the course. The subject was very well explained.and even the assignments were interesting.One can really take this course if you like playing around with data and having fun analysis.
I liked it so much as it reminded me by a lot of subjects I forgotten during my working years away of my uni degree so i need to back to this one and dig deep in each subject of it again. many thanks.
The content of the course is really good, so is the teacher. The final exam and that it's rated by peers is not optimal tho. Feedback from an expert would be nice there, even if it takes a bit longer
Very good introduction course. Clear and understandable explanations for beginners, good structure and helpful examples. Also the provided slides are beneficial for later reference and repetition.
Sobre Programa de cursos integrados Advanced Business Analytics
The Advanced Business Analytics Specialization brings together academic professionals and experienced practitioners to share real world data analytics skills you can use to grow your business, increase profits, and create maximum value for your shareholders. Learners gain practical skills in extracting and manipulating data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and effectively interpreting and presenting analytic results.
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